AI ENGINEER · APPLIED SCIENTIST

Apostolos Modas.

I'm a Senior AI Engineer and Applied Scientist at Sony AI, working on Generative AI, Multimodal Models, and Trustworthy Machine Learning.

I'm broadly interested in understanding how deep learning models behave, why they sometimes fail, and how we can make them more reliable and safe. My work spans research and engineering, from studying model robustness and generalization to developing datasets and tools for assessing generative AI systems.

Before my current role, I was a Senior Research Scientist at Sony AI, where I worked on responsible data curation, privacy, and computer vision evaluation, including research that contributed to the FHIBE dataset published in Nature (Dec. 2025 cover).

I received my PhD from École Polytechnique Fédérale de Lausanne (EPFL) under the supervision of Pascal Frossard, where I worked on adversarial robustness and generalization in deep neural networks. Before that, I completed my MSc and BSc at the National and Kapodistrian University of Athens.